Improving diagnosis accuracy for small lung adenocarcinoma during surgery
Official title: Improving the Intraoperative Diagnosis Accuracy for Pre-invasive and Invasive Small-sized Lung Adenocarcinoma Node by Combining Multi-modal Information
Run by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · NCT05830812 · Data updated 2026-11-12
This study is testing if using different types of information during surgery can help doctors more accurately determine how invasive small lung adenocarcinomas are in patients with early-stage lung cancer.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 80 Years |
| Sex | All |
| Enrollment | 3000 (estimated) |
| Sponsor | Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Status | Recruiting |
| Started | January 1, 2023 |
| Main results expected | December 31, 2025 |
| Study ends | December 31, 2026 |
| Registry record updated | September 19, 2024 |
| Trial ID | NCT05830812 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients aged 20 to 80 with operable clinical stage I lung adenocarcinoma and tumors less than 3cm in diameter.
✕Probably not a fit
Patients with a history of preoperative treatment or those with incomplete clinical information may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance the accuracy of intraoperative diagnosis of invasiveness in small-sized lung adenocarcinoma by utilizing multi-modal information. It focuses on determining the predictive value of this information for assessing invasiveness in patients with operable clinical stage I lung cancer. The study will collect retrospective data from participants who meet specific eligibility criteria, including recent CT examinations and confirmed lung adenocarcinoma diagnoses. The findings could lead to more precise surgical decisions and better patient outcomes.
Why it matters
Potential benefit: If successful, this study could lead to improved surgical outcomes for patients with small-sized lung adenocarcinoma by enabling more accurate intraoperative diagnoses.
How similar studies have gone: While this approach is innovative, similar studies have shown promise in improving diagnostic accuracy in other cancer types, suggesting potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: CT examination within 3 months before surgery Patients with operable clinical stage I lung cancer No previous treatment in the lungs or any other organ ≥ 20 years and ≤ 80 years old Tumor less than 3cm in diameter on thin-slice (0.625-1 mm) CT images Lung adenocarcinoma confirmed by surgical resection and histopathological diagnosis Exclusion Criteria: Marked artifacts on CT images History of preoperative treatment Incomplete clinical information or DICOM images History of other malignant tumors Lung cancer associated with cystic airspaces
Where it's running
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China Recruiting
Study contacts
- Principal investigator: Yang Jin, PHD — Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Study coordinator: Xueyun Tan, MD
- Email: tanxueyun93@sina.com
- Phone: 13419692313
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.